PROMO: Preference-conditioned Multi-Objective Reinforcement Learning for Quadrupedal Robots.

arXiv:2610.01260v1 Announce Type: cross Abstract: Quadrupedal locomotion requires balancing conflicting objectives such as command tracking, stability, and energy efficiency, yet conventional reinforcement learning (RL) hardcodes these priorities into a fixed